BanglaWriting: A multi-purpose offline Bangla handwriting dataset

Published: 19-10-2020| Version 1 | DOI: 10.17632/r43wkvdk4w.1
Contributors:
Dr. M. F. Mridha,
Ohi Md Abu Quwsar,
M. Ameer Ali,
Emon Mazedul Islam Emon,
Md Mohsin Kabir

Description

The BanglaWriting dataset contains single-page handwritings of 260 individuals of different personalities and ages. Each page includes bounding-boxes that bounds each word, along with the unicode representation of the writing. This dataset contains 21,234 words and 32,787 characters in total. Moreover, this dataset includes 5,470 unique words of Bangla vocabulary. Apart from the usual words, the dataset comprises 261 comprehensible overwriting and 450 incomprehensible overwriting. All of the bounding boxes and word labels are manually-generated. The dataset can be used for complex optical character/word recognition, writer identification, and handwritten word segmentation. Furthermore, this dataset is suitable for extracting age-based and gender-based variation of handwriting.

Files

Steps to reproduce

The writings were conducted using regular stationery products. Writers were advised to write on a random topic. Only one page of writing was collected from each individual. The handwritings were further captured using scanners and smartphone cameras. Each captured image was cropped and annotated manually. The converted.zip contains a converted dataset produced using the referred script.